19 citations · 24 across the 5 of their papers we have counts for
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cs.CV2023★ 1 cited
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Chuang Zhu, Kebin Liu, Wenqi Tang +3
The divergence between labeled training data and unlabeled testing data is a significant challenge for recent deep learning models. Unsupervised domain adaptation (UDA) attempts to…
cs.CV2020★ 19 cited
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Ke Mei, Chuang Zhu, Jiaqi Zou +1
The divergence between labeled training data and unlabeled testing data is a significant challenge for recent deep learning models. Unsupervised domain adaptation (UDA) attempts to…
cs.CV2020★ 2 cited
3rd Place Solution to "Google Landmark Retrieval 2020"
Ke Mei, Lei li, Jinchang Xu +2
Image retrieval is a fundamental problem in computer vision. This paper presents our 3rd place detailed solution to the Google Landmark Retrieval 2020 challenge. We focus on the ex…